Opportunities
Job opportunities
BIFOLD welcomes job applications from interested parties year-round.
Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
In addition, you should have experience in two or more of the following: big data frameworks (e.g., Apache Flink, Apache Spark), database systems (e.g., SQL, NoSQL), and programming languages (e.g., Java, Javascript, Scala, C/C++, Python). Good knowledge of both German and English are strongly desired. However, at a minimum, candidates must be able to communicate in English.
Job applications should be directed to coordination@bifold.berlin
In general, applications must include a cover letter (specifying target position, and including the job reference number, when available), CV, academic transcripts, and letters of recommendation. Note: Postdoctoral Researcher applicants must also provide examples of past publications.
Open positions
Student Assistant
Student assistant: Research and system development for dynamic, distributed data stream processing for the IoT.
Employer: TU Berlin / Faculty IV – Institute of Software engineering and Theoretical Computer Science / Database Systems and Information Management Group
Starting date: 04/09/2020
Closing date: 18/09/2020
Reference number: 3435 T 27/20
Full job posting: PDF (in german)
Educational Programs
EIT Digital Data Science Master’s Program
The EIT Digital, European Institute of Innovation & Technology, has recently established a newData Science Master’s Program, which is launched in 2015. As one of six European universities involved in this initiative – KTH/Stockholm, UNS/Nice-Sophia, TUB/Berlin, TUE/Eindhoven, UPM/Madrid, PoliMi/Mailand – TU Berlin offers a specialisation in the Design, Implementation, and Usage of Data Science Instruments, which provides training in three key areas, namely,
- scalable data management
- data analysis & machine learning
- applications
Please, learn more about:
the Data Science Master (DSC)
the EIT Digital, European Institute of Innovation & Technology
Data Science and Engineering Master’s Track
School IV, Electrical Engineering and Computer Science, of Technische Universität Berlin offers a Data Science and Engineering Track (Certification) integrated in the master’s study program of computer science, computer engineering and business intelligence. During the studies three columns support the specialization:
- Scalable Data Analytics
- Scalable Data Management
- An application area
Application areas are:
Medical science, materials research, energy, logistics
A wide range of english courses guarantees that students without German language knowledge can follow this track.
Description of the certified Data Science and Engineering Track (pdf)
Learn more about the Data Analytics Laboratory
BDMA Master Program
After five years IT4BI Master program, the new Erasmus+ BDMA program favours the integration of students into a network of specialists and researchers in Business Intelligence and Big Data. The Joint Master Degree Programme in Big Data Management and Analytics (BDMA) has been jointly designed and adheres to international studies, being structured to cover all the skills BI and BD specialists require.
The curriculum is jointly delivered by Université Libre de Bruxelles (ULB) in Belgium, Universitat Politècnica de Catalunya (UPC) in Spain, Technische Universität Berlin (TUB) in Germany, CentraleSupélec (CS) in France, and The Eindhoven University of Technology (TU/e) in the Netherlands. TUB / DIMA (local program coordinator) offers the specialization Distributed and Large-Scale Business Intelligence.
Learn more about
the BDMA program
the 3rd and 4th semester specialization @DIMA/TUB